| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| """ |
| DataFrame-based machine learning APIs to let users quickly assemble and configure practical |
| machine learning pipelines. |
| """ |
| from pyspark.ml.base import Estimator, Model, Transformer, UnaryTransformer |
| from pyspark.ml.pipeline import Pipeline, PipelineModel |
| from pyspark.ml import classification, clustering, evaluation, feature, fpm, \ |
| image, pipeline, recommendation, regression, stat, tuning, util, linalg, param |
| |
| __all__ = [ |
| "Transformer", "UnaryTransformer", "Estimator", "Model", "Pipeline", "PipelineModel", |
| "classification", "clustering", "evaluation", "feature", "fpm", "image", |
| "recommendation", "regression", "stat", "tuning", "util", "linalg", "param", |
| ] |
